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Orvian is an AI-driven personal financial operating system that organizes money into intelligent, rule-based envelopes layered over existing bank accounts. It automates allocation across spending, savings, goals, and tax obligations while maintaining a non-custodial, ledger-based architecture. With built-in goal tracking, time-locked financial structures, and a governed tax envelope system, Orvian turns income into a structured, transparent, and AI-optimized financial flow.

ListingStream is a modular, AGPL-3.0+ licensed visual commerce platform that uses AI to intelligently insert sponsored products into photographs while preserving the integrity of the original image. Built around mandatory human-in-the-loop approval, real-time legal compliance, explainable AI, immutable audit trails, and pixel-preserving rendering, ListingStream enables trusted, revenue-generating visual marketing for real estate and other industries through a flexible, compliance-first architecture.

Idea2Reality is an AGPL-3.0+ open-source industrial intelligence platform that transforms ideas into manufacturable hardware and software systems, optimizing across manufacturing, logistics, geography, labor, and cost. It integrates AI-driven design, real-world feasibility analysis, 3D system visualization, workforce and apprenticeship mapping, and continuous memory-based learning to generate end-to-end production and execution plans.

Atlas Urban Intelligence is an AGPL 3.0+ modular smart city AI system that transforms distributed edge sensor data into real-time, event-based urban intelligence. It is designed around privacy-by-default principles, ensuring no persistent identity tracking while enabling scalable analysis of real-world motion across intersections, highways, and urban environments. The system combines edge inference, federated learning, and a policy-driven compliance layer to deliver transparent, auditable, and privacy-preserving city-scale intelligence.

OpenDiagnose is an open-source, AGPL-3.0+ modular diagnostic system that turns real-world visual input into structured, actionable repair guidance. Using wearable or edge-connected vision hardware, interchangeable AI models, and domain-specific knowledge packs, it identifies faults across mechanical, electrical, agricultural, and infrastructure systems. Designed as a commons-driven platform, it separates hardware, software, and diagnostic logic into replaceable modules so the system can evolve without vendor lock-in or closed components.

OpenEnergyOS is a specification-driven, AGPL-3.0+ modular platform for simulating, planning, and optimizing large-scale energy transition away from oil dependency. It enables governments and municipalities to model energy systems, costs, legal constraints, and infrastructure changes through transparent, physics-based and economically grounded simulations that turn policy intent into executable system design.

Commons Architect is an AI system for designing cooperative business models that help independent professionals share resources, reduce overhead, and eliminate unnecessary middlemen. It provides modular tools for building governance structures, legal and compliance frameworks, financial systems, and shared operational spaces across any industry, enabling users to create sustainable, self-directed cooperative organizations while preserving independence and ownership.

Perspective Engine is a modular, human-in-the-loop AI system that transforms trending topics and local signals into original, niche-aligned content perspectives. Instead of generating repetitive or saturated content, it analyzes information across multiple sources, detects overused narratives, and reframes ideas into unique angles tailored to each creator’s audience, location, and industry.

ChronicleCRM is an AI-native relationship intelligence platform designed to turn every lead, interaction, and decision into a fully traceable record. Built around natural language capture, prospect memory, and modular industry workflows, it combines CRM functionality with human accountability and auditable AI assistance. The system ensures that every recommendation is explainable, every action has an owner, and every workflow is transparent from input to outcome.

Power Transparency Network (PTN) is an AGPL 3.0+ modular intelligence system that analyzes how energy is produced, controlled, owned, and experienced across the United States. It maps state-level energy generation, vendor concentration, and ownership sovereignty while extending into household-level energy independence modeling. The system is designed to expose structural dependencies in energy markets and provide transparent, data-driven insight into monopoly risk, energy resilience, and domestic infrastructure control.

Open Aerial Autonomous Safety System (OAASS) is a modular, open-source autonomous mobility platform that extends traditional self-driving systems with advanced multi-modal perception, predictive collision avoidance, and an emergency aerial escape capability. Designed under the AGPL-3.0+ license, it integrates real-time sensor fusion, mid-air collision avoidance, and smart infrastructure coordination to create a transparent, safety-first framework for next-generation ground-to-air vehicle autonomy.

LicenseTrace is a semantic software provenance and compilation system that evaluates whether software already exists before any code is written. It enforces origin-first development by tracing external repositories, resolving attribution, detecting duplication at both ecosystem and module level, and compiling only the minimal necessary implementation when reuse is not possible.

OpenKernel is an AGPL-3.0+ operating kernel for human capability and trajectory intelligence, designed to transform skills, experience, and resources into structured, positive-sum creation paths. It helps individuals move from consumption to creation by mapping their capabilities into evolving opportunities, projects, and systems that generate long-term value for themselves and their communities while replacing extractive models with creation-driven ecosystems.

YieldStack is an open-source agricultural intelligence platform that helps farmers and researchers optimize water usage, nitrogen application, and crop performance through modular AI systems, real-time sensor data, and agronomic modeling. Built under the AGPL-3.0+ license, it emphasizes transparency, explainability, and interoperability, enabling sustainable farming decisions that reduce waste, improve yields, and support long-term soil health.

FailureMap is an open-source AI venture intelligence platform that analyzes startups through a risk-first, evidence-based lens. Instead of focusing on hype or valuations, it identifies structural weaknesses, market vulnerabilities, and operational failure points using modular analysis engines. Built for transparency and extensibility, FailureMap helps developers, researchers, and analysts understand why companies fail before they scale.

Circulis Aqua is an AGPL 3.0+ modular infrastructure design system for desalination, water purification, reuse, and geospatial distribution. It uses AI-assisted configuration to design scalable, plug-in water systems that range from residential units to municipal and regional grids. Built on a graph-based water flow model, it enables local-first optimization, closed-loop water reuse, and intelligent routing to ensure no water is wasted across interconnected infrastructure networks.

EvolutionOS is a modular, multi-agent economic intelligence platform that evaluates industry viability, models macroeconomic and market conditions, and identifies alternative business opportunities across evolving global sectors. It transforms complex financial, geopolitical, and technological signals into structured, explainable decision support, helping organizations understand when to stay in an industry, when to pivot, and where future growth is likely to emerge.

HelmOS is a modular, local-first operating layer that wraps existing AI agents with intent verification, human governance, trust management, workflow orchestration, auditing, and controlled self-improvement. Designed to keep humans at the center of decision-making, HelmOS ensures that actions remain explainable, accountable, and aligned with user intent while providing a standardized framework for building, managing, and governing intelligent agent systems.

Internal Credit is an AI-powered, modular financial platform that enables users to borrow against their own savings while continuing to earn returns on their deposited capital. Designed around self-collateralized lending, the platform allows account holders to access up to 70% of their account value, receive AI-guided financial insights, and preserve long-term wealth through a flexible, secure, and extensible banking architecture.

Sapient Eval is an open-source, AGPL-3.0+ compliant benchmarking framework for evaluating AI models across accuracy, speed, efficiency, and reasoning performance. Built around a modular, spec-driven architecture, it enables users to define industry-specific evaluation standards, run reproducible tests on locally hosted or remote models, and compare results transparently to establish measurable, empirical performance across synthetic intelligence systems.